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Generalized two-vectors-based model predictive torque control of induction motor drives

Author:
Zhang, Yongchang
,
Yang, Haitao
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/WF-IoT.2014.6803232
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1057225
Keyword(s): Internet of Things,n knowledge based systems,n ontologies (artificial intelligence),n Internet of Things,n IoT,n context-and-domain ontology,n interoperability,n knowledge representation,n location information,n location ontology,n ontologies,n policy ontology,n resource ontology,n resources information,n semantic modeling,n service composition,n service discovery,n service modeling,n service ontology,n services information,n unified se
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    Generalized two-vectors-based model predictive torque control of induction motor drives

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contributor authorZhang, Yongchang
contributor authorYang, Haitao
date accessioned2020-03-12T21:41:41Z
date available2020-03-12T21:41:41Z
date issued2014
identifier other6953886.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1057225?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleGeneralized two-vectors-based model predictive torque control of induction motor drives
typeConference Paper
contenttypeMetadata Only
identifier padid8188399
subject keywordsInternet of Things
subject keywordsn knowledge based systems
subject keywordsn ontologies (artificial intelligence)
subject keywordsn Internet of Things
subject keywordsn IoT
subject keywordsn context-and-domain ontology
subject keywordsn interoperability
subject keywordsn knowledge representation
subject keywordsn location information
subject keywordsn location ontology
subject keywordsn ontologies
subject keywordsn policy ontology
subject keywordsn resource ontology
subject keywordsn resources information
subject keywordsn semantic modeling
subject keywordsn service composition
subject keywordsn service discovery
subject keywordsn service modeling
subject keywordsn service ontology
subject keywordsn services information
subject keywordsn unified se
identifier doi10.1109/WF-IoT.2014.6803232
journal titlenergy Conversion Congress and Exposition (ECCE), 2014 IEEE
filesize1524372
citations0
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